code: def _testRemoteIteratorHelper(self, device0, device1, target):
      with ops.device(device1):
          dataset_3 = dataset_ops.Dataset.from_tensor_slices([1, 2, 3])
          iterator_3 = dataset_ops.make_one_shot_iterator(dataset_3)
          iterator_3_handle = iterator_3.string_handle()
  
      @function.Defun(dtypes.string)
      def _remote_fn(h):
          remote_iterator = iterator_ops.Iterator.from_string_handle(
              h,
              dataset_ops.get_legacy_output_types(dataset_3),
              dataset_ops.get_legacy_output_shapes(dataset_3),
          )
          return remote_iterator.get_next()
  
      with ops.device(device0):
          target_placeholder = array_ops.placeholder(
              dtypes.string, shape=[]
          )
          remote_op = functional_ops.remote_call(
              args=[iterator_3_handle],
              Tout=[dtypes.int32],
              f=_remote_fn,
              target=target_placeholder,
          )
  
      with session.Session(target) as sess:
          elem = sess.run(
              remote_op, feed_dict={target_placeholder: device1}
          )
          self.assertEqual(elem, [1])
          # Fails when target is cpu:0 where the resource is not located.
          with self.assertRaises(errors.InvalidArgumentError):
              sess.run(
                  remote_op, feed_dict={target_placeholder: device0}
              )
          elem = sess.run(iterator_3.get_next())
          self.assertEqual(elem, [2])
          elem = sess.run(
              remote_op, feed_dict={target_placeholder: device1}
          )
          self.assertEqual(elem, [3])
          with self.assertRaises(errors.OutOfRangeError):
              sess.run(
                  remote_op, feed_dict={target_placeholder: device1}
              )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.python.client import session
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import iterator_ops
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import function
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import functional_ops
  from tensorflow.python.ops import lookup_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import string_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the IteratorClusterTest obj's underlying member method code with example usage: obj._testRemoteIteratorHelper(device0, device1, target) and returns: remote_iterator